Trajectories and attractors as specification for the evolution of behaviour in cellular automata. - Stefano Nichele; Gunnar Tufte (IEEE Congress on Evolutionary Computation, 2010)

Discrete dynamics of cellular machines: specification and interpretation. - Stefano Nichele (GECCO (Companion), 2011)

On the correlations between developmental diversity and genomic composition. - Gunnar Tufte; Stefano Nichele (GECCO, 2011)

Genome Parameters as Information to Forecast Emergent Developmental Behaviors. - Stefano Nichele; Gunnar Tufte (UCNC, 2012)

Evolution of Incremental Complex Behavior on Cellular Machines. - Stefano Nichele; Gunnar Tufte (ECAL, 2013)

Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms - Approximation of Kolmogorov Complexity with Lempel-Ziv Compression. - Stefano Nichele; Gunnar Tufte (IBICA, 2013)

Investigation of Genome Parameters and Sub-Transitions to Guide Evolution of Artificial Cellular Organisms. - Stefano Nichele; Håkon Hjelde Wold; Gunnar Tufte (EvoApplications, 2014)

Evolutionary growth of genomes for the development and replication of multicellular organisms with indirect encoding. - Stefano Nichele; Gunnar Tufte (ICES, 2014)

An Investigation of Square Waves for Evolution in Carbon Nanotubes Material. - Odd Rune Lykkebø; Stefano Nichele; Gunnar Tufte (ECAL, 2015)

Morphogenesis and Replication of Multi-Cellular Organisms with Evolved Variable Length Self-Modifying Genomes. - Stefano Nichele; Gunnar Tufte (ECAL, 2015)

An Investigation of Underlying Physical Properties Exploited by Evolution in Nanotubes Materials. - Stefano Nichele; Odd Rune Lykkebø; Gunnar Tufte (SSCI, 2015)

Towards standalone in-materio devices: Stable logic gates and elementary cellular automata in carbon nanotubes material. - Sigve Sebastian Farstad; Stefano Nichele; Gunnar Tufte (CEC, 2016)

Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata. - Stefano Nichele; Tom Eivind Glover; Gunnar Tufte (PPSN, 2016)

Introduction to the Modeling and Analysis of Complex Systems. H. Sayama (Ed.). (2015, Open SUNY Textbooks). Free open access PDF, 498 pp. ISBN 978-1-942341-06-2 (deluxe color edition). ISBN 978-1-942341-08-6 (print edition). ISBN 978-1-942341-09-3 (ebook). - Stefano Nichele (Artif. Life, 2016)

Evolutionary Growth of Genome Representations on Artificial Cellular Organisms with Indirect Encodings. - Stefano Nichele; Andreas Giskeødegård; Gunnar Tufte (Artif. Life, 2016)

An Explanation of Computation - Collective Electrodynamics in Blobs of Carbon Nanotubes. - Dragana Laketic; Gunnar Tufte; Odd Rune Lykkebø; Stefano Nichele (EAI Endorsed Trans. Future Intell. Educ. Environ., 2016)

Towards making a cyborg: A closed-loop reservoir-neuro system. - Peter Aaser; Martinius Knudsen; Ola Huse Ramstad; Rosanne van de Wijdeven; Stefano Nichele; Ioanna Sandvig; Gunnar Tufte; Ulrich Stefan Bauer; Øyvind Halaas; Sverre Hendseth; Axel Sandvig; Vibeke Valderhaug (ECAL, 2017)

Towards a plant bio-machine. - Stefano Nichele; Sebastian Risi; Gunnar Tufte; Laura Beloff (SSCI, 2017)

Reservoir Computing Using Nonuniform Binary Cellular Automata. - Stefano Nichele; Magnus S. Gundersen (Complex Syst., 2017)

Deep Learning with Cellular Automaton-Based Reservoir Computing. - Stefano Nichele; Andreas Molund (Complex Syst., 2017)

Reservoir Computing Using Non-Uniform Binary Cellular Automata. - Stefano Nichele; Magnus S. Gundersen (CoRR, 2017)

Deep Reservoir Computing Using Cellular Automata. - Stefano Nichele; Andreas Molund (CoRR, 2017)

Universality of Evolved Cellular Automata in-Materio. - Stefano Nichele; Sigve Sebastian Farstad; Gunnar Tufte (Int. J. Unconv. Comput., 2017)

Autonomous configuration of network parameters in operating systems using evolutionary algorithms. - Bartosz Gembala; Anis Yazidi; Hårek Haugerud; Stefano Nichele (RACS, 2018)

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. - Erik Aaron Hansen; Stefano Nichele; Anis Yazidi; Hårek Haugerud; Asieh Abolpour Mofrad; Alex Alcocer (SSCI, 2018)

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution. - Erik Aaron Hansen; Stefano Nichele; Anis Yazidi; Hårek Haugerud; Asieh Abolpour Mofrad; Alex Alcocer (CoRR, 2018)

CA-NEAT: Evolved Compositional Pattern Producing Networks for Cellular Automata Morphogenesis and Replication. - Stefano Nichele; Mathias Berild Ose; Sebastian Risi; Gunnar Tufte (IEEE Trans. Cogn. Dev. Syst., 2018)

Reservoir Computing with Computational Matter. - Zoran Konkoli; Stefano Nichele; Matthew Dale; Susan Stepney (Computational Matter, 2018)

Philosophy of Computation. - Zoran Konkoli; Susan Stepney; Hajo Broersma; Paolo Dini; Chrystopher L. Nehaniv; Stefano Nichele (Computational Matter, 2018)

Gathering of the Hive: Investigating the clustering behaviour of honeybees through art and swarm robotics. - Haakon Haraldsen Roen; Vako Vartkes Varankian; Stefano Nichele; Kristin Bergaust (ALIFE, 2019)

Evolved Art with Transparent, Overlapping, and Geometric Shapes. - Joachim Berg; Nils Gustav Andreas Berggren; Sivert Allergodt Borgeteien; Christian Ruben Alexander Jahren; Arqam Sajid; Stefano Nichele (NAIS, 2019)

Ethics of Artificial Intelligence Demarcations. - Anders Braarud Hanssen; Stefano Nichele (NAIS, 2019)

Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. - Kristine Heiney; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (SSCI, 2019)

Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. - Gustavo Borges Moreno e Mello; Sidney Pontes-Filho; Ioanna Sandvig; Vibeke Devold Valderhaug; Evi Zouganeli; Ola Huse Ramstad; Axel Sandvig; Stefano Nichele (SSCI, 2019)

Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. - Jianhua Zhang 004; Peng Chen; Stefano Nichele; Anis Yazidi (SSCI, 2019)

Instantaneous Mental Workload Classification Using Semi-Supervised Learning*. - Jianhua Zhang 004; Jianrong Li; Stefano Nichele (SSCI, 2019)

Towards a framework for the evolution of artificial general intelligence. - Sidney Pontes-Filho; Stefano Nichele (CoRR, 2019)

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks. - Gustavo Borges Moreno e Mello; Vibeke Devold Valderhaug; Sidney Pontes-Filho; Evi Zouganeli; Ioanna Sandvig; Stefano Nichele (CoRR, 2019)

A general representation of dynamical systems for reservoir computing. - Sidney Pontes-Filho; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (CoRR, 2019)

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity. - Kristine Heiney; Vibeke Devold Valderhaug; Ioanna Sandvig; Axel Sandvig; Gunnar Tufte; Hugo Lewi Hammer; Stefano Nichele (CoRR, 2019)

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. - Sidney Pontes-Filho; Pedro G. Lind; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (EvoApplications, 2020)

Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. - Torgeir Fladby; Hårek Haugerud; Stefano Nichele; Kyrre M. Begnum; Anis Yazidi (RACS, 2020)

On Artificial Life and Emergent Computation in Physical Substrates. - Kristine Heiney; Gunnar Tufte; Stefano Nichele (CoRR, 2020)

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. - Jianhua Zhang 004; Zhong Yin; Peng Chen; Stefano Nichele (Inf. Fusion, 2020)

On the effects of pruning on evolved neural controllers for soft robots. - Giorgia Nadizar; Eric Medvet; Felice Andrea Pellegrino; Marco Zullich; Stefano Nichele (GECCO Companion, 2021)

A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents. - Sidney Pontes-Filho; Annelene Gulden Dahl; Stefano Nichele; Gustavo Borges Moreno e Mello (IntelliSys (3), 2021)

The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (ALIFE, 2021)

Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity. - Jørgen Jensen Farner; Håkon Weydahl; Ruben Jahren; Stefano Nichele; Ola Huse Ramstad; Kristine Heiney (SSCI, 2021)

Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent. - Alexandre Variengien; Stefano Nichele; Tom Eivind Glover; Sidney Pontes-Filho (CoRR, 2021)

Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation. - Kristine Heiney; Ola Huse Ramstad; Vegard Fiskum; Nicholas Christiansen; Axel Sandvig; Stefano Nichele; Ioanna Sandvig (Frontiers Comput. Neurosci., 2021)

Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots. - Jacopo Talamini; Eric Medvet; Stefano Nichele (Frontiers Robotics AI, 2021)

Tim Taylor and Alan Dorin: Rise of the self-replicators - early visions of machines, AI and robots that can reproduce and evolve. - Stefano Nichele (Genet. Program. Evolvable Mach., 2021)

Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. - Kristine Heiney; Vibeke Devold Valderhaug; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (Int. J. Unconv. Comput., 2021)

Evolving Quantum Circuits to Implement Stochastic and Deterministic Cellular Automata Rules. - Shailendra Bhandari; Sebastian Overskott; Ioannis Adamopoulos; Pedro G. Lind; Sergiy Denysov; Stefano Nichele (ACRI, 2022)

Translating Emotions from EEG to Visual Arts. - Piera Riccio; Francesco Galati; Maria A. Zuluaga; Juan Carlos De Martin; Stefano Nichele (EvoMUSART, 2022)

A single neural cellular automaton for body-brain co-evolution. - Sidney Pontes-Filho; Kathryn Walker; Elias Najarro; Stefano Nichele; Sebastian Risi (GECCO Companion, 2022)

An HCI Experiment to Explore Interactive Artificial Life Art. - Glare Dumo; Pedro G. Lind; Stefano Nichele (HCI (39), 2022)

AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. - Piera Riccio; Kristin Bergaust; Boel Christensen-Scheel; Juan Carlos De Martin; Maria A. Zuluaga; Stefano Nichele (CoRR, 2022)

A Unified Substrate for Body-Brain Co-evolution. - Sidney Pontes-Filho; Kathryn Walker; Elias Najarro; Stefano Nichele; Sebastian Risi (CoRR, 2022)

Collective control of modular soft robots via embodied Spiking Neural Cellular Automata. - Giorgia Nadizar; Eric Medvet; Stefano Nichele; Sidney Pontes-Filho (CoRR, 2022)

Assessing the robustness of critical behavior in stochastic cellular automata. - Sidney Pontes-Filho; Pedro G. Lind; Stefano Nichele (CoRR, 2022)

Local learning through propagation delays in spiking neural networks. - Jørgen Jensen Farner; Ola Huse Ramstad; Stefano Nichele; Kristine Heiney (CoRR, 2022)

Towards the Neuroevolution of Low-level artificial general intelligence. - Sidney Pontes-Filho; Kristoffer Olsen; Anis Yazidi; Michael A. Riegler; Pål Halvorsen; Stefano Nichele (Frontiers Robotics AI, 2022)

Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. - Giorgia Nadizar; Eric Medvet; Ola Huse Ramstad; Stefano Nichele; Felice Andrea Pellegrino; Marco Zullich (Knowl. Eng. Rev., 2022)

Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum. - Giorgia Nadizar; Eric Medvet; Ola Huse Ramstad; Stefano Nichele; Felice Andrea Pellegrino; Marco Zullich (Knowl. Eng. Rev., 2022)

Optimization of a Hydrodynamic Computational Reservoir through Evolution. - Alessandro Pierro; Kristine Heiney; Shamit Shrivastava; Giulia Marcucci; Stefano Nichele (GECCO, 2023)

Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks. - Jørgen Jensen Farner; Ola Huse Ramstad; Stefano Nichele; Kristine Heiney (WIVACE, 2023)

Capturing Emerging Complexity in Lenia. - Sanyam Jain; Aarati Shrestha; Stefano Nichele (WIVACE, 2023)

An experimental comparison of evolved neural network models for controlling simulated modular soft robots. - Giorgia Nadizar; Eric Medvet; Stefano Nichele; Sidney Pontes-Filho (Appl. Soft Comput., 2023)

Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (Complex Syst., 2023)

The Role of the Substrate in CA-based Evolutionary Algorithms. - Gloria Pietropolli; Stefano Nichele; Eric Medvet (GECCO, 2024)

Chaotic Time Series Prediction in Biological Neural Network Reservoirs on Microelectrode Arrays. - Trym A. E. Lindell; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (IJCNN, 2024)

Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing. - Trym A. E. Lindell; Ola Huse Ramstad; Ioanna Sandvig; Axel Sandvig; Stefano Nichele (CoRR, 2024)

Emergent Dynamics in Heterogeneous Life-Like Cellular Automata. - Aarati Shrestha; Felix Reimers; Sanyam Jain; Paolo Baldini; Michele Braccini; Andrea Roli; Stefano Nichele (CoRR, 2024)

On when is Reservoir Computing with Cellular Automata Beneficial? - Tom Eivind Glover; Evgeny Osipov; Stefano Nichele (CoRR, 2024)

How quantum and evolutionary algorithms can help each other: two examples. - Shailendra Bhandari; Stefano Nichele; Sergiy Denysov; Pedro G. Lind (CoRR, 2024)

Editorial: Special Issue "The Distributed Ghost" - Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence. - Stefano Nichele; Hiroki Sayama; Eric Medvet; Chrystopher L. Nehaniv; Mario Pavone (Artif. Life, 2025)

A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. - Tom Eivind Glover; Ruben Jahren; Francesco Martinuzzi; Pedro G. Lind; Stefano Nichele (Int. J. Parallel Emergent Distributed Syst., 2025)

EngramNCA: a Neural Cellular Automaton Model of Memory Transfer. - Etienne Guichard; Felix Reimers; Mia Kvalsund; Mikkel E. Lepperød; Stefano Nichele (CoRR, 2025)

ARC-NCA: Towards Developmental Solutions to the Abstraction and Reasoning Corpus. - Etienne Guichard; Felix Reimers; Mia Kvalsund; Mikkel E. Lepperød; Stefano Nichele (CoRR, 2025)

Frequency-Histogram Coarse Graining in Elementary Cellular Automata and 2D CA. - Sanyam Jain; Stefano Nichele (CoRR, 2025)